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PAMI
2008

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Riemannian Manifold Learning

13 years 11 months ago

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Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...

Tong Lin, Hongbin Zha

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Id	Views	Title	Status

1	391	Riemannian Manifold Learning	claim
2	302	Learning to Detect Moving Shadows in Dynamic Environments	claim
3	275	Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles	claim
4	270	Randomized Clustering Forests for Image Classification	claim
5	250	Combined Top-Down/Bottom-Up Segmentation	claim
6	243	Shape from Defocus via Diffusion	claim
7	235	Dependent Multiple Cue Integration for Robust Tracking	claim
8	231	Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors	claim
9	225	Inferring Segmented Dense Motion Layers Using 5D Tensor Voting	claim
10	221	Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings	claim
11	220	Pedestrian Detection via Classification on Riemannian Manifolds	claim
12	216	Annotating Images by Mining Image Search Results	claim
13	215	Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study	claim
14	208	BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval	claim
15	206	Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors	claim
16	205	A Theoretical Analysis of Bagging as a Linear Combination of Classifiers	claim
17	203	Free-Form Object Reconstruction from Silhouettes, Occluding Edges and Texture Edges: A Unified and Robust Operator Based on Dual
18	202	Metamorphs: Deformable Shape and Appearance Models	claim
19	200	Principal Component Analysis Based on L1-Norm Maximization	claim
20	198	A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors	claim
21	197	LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs	claim
22	196	Distance Learning for Similarity Estimation	claim
23	195	Robust Radiometric Calibration and Vignetting Correction	claim
24	195	Path Similarity Skeleton Graph Matching	claim
25	190	Scene Classification Using a Hybrid Generative/Discriminative Approach	claim
26	189	A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models	claim
27	189	Detecting Objects of Variable Shape Structure With Hidden State Shape Models	claim
28	188	Segmentation and Tracking of Multiple Humans in Crowded Environments	claim
29	185	Three-View Multibody Structure from Motion	claim
30	183	Shape-and-Behavior Encoded Tracking of Bee Dances	claim
31	182	Gaussian Process Dynamical Models for Human Motion	claim
32	182	A Hierarchical Compositional Model for Face Representation and Sketching	claim
33	181	Automatic Estimation and Removal of Noise from a Single Image	claim
34	179	Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures	claim
35	176	Learning Flexible Features for Conditional Random Fields	claim
36	175	Discriminative Feature Co-Occurrence Selection for Object Detection	claim
37	174	Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination	claim
38	174	Geometric Observers for Dynamically Evolving Curves	claim
39	173	Bayes Classification of Online Arabic Characters by Gibbs Modeling of Class Conditional Densities	claim
40	172	A Theory Of Frequency Domain Invariants: Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency	claim
41	170	Unsupervised Category Modeling, Recognition, and Segmentation in Images	claim
42	166	Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours	claim
43	166	Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing	claim
44	162	Bayes Optimality in Linear Discriminant Analysis	claim
45	162	Nonchronological Video Synopsis and Indexing	claim
46	162	Dimensionality Reduction of Clustered Data Sets	claim
47	161	TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models	claim
48	161	Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework	claim
49	161	Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking	claim
50	160	Motion Segmentation and Depth Ordering Using an Occlusion Detector	claim
51	160	Emotion Recognition Based on Physiological Changes in Music Listening	claim
52	160	Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization	claim
53	159	Analysis of Head Gesture and Prosody Patterns for Prosody-Driven Head-Gesture Animation	claim
54	157	Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information	claim
55	157	Subpixel Photometric Stereo	claim
56	156	Tied Factor Analysis for Face Recognition across Large Pose Differences	claim
57	155	Subclass Problem-Dependent Design for Error-Correcting Output Codes	claim
58	154	Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation	claim
59	153	Correlation Metric for Generalized Feature Extraction	claim
60	152	K-Nearest Neighbor Finding Using MaxNearestDist	claim
61	152	Class-Based Feature Matching Across Unrestricted Transformations	claim
62	147	Image Stitching Using Structure Deformation	claim
63	146	Optimal Randomized RANSAC	claim
64	146	Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment	claim
65	145	Latent-Space Variational Bayes	claim
66	144	Finsler Active Contours	claim
67	144	Twin Kernel Embedding	claim
68	143	An Effective Approach for Iris Recognition Using Phase-Based Image Matching	claim
69	142	Fast Asymmetric Learning for Cascade Face Detection	claim
70	142	Concurrent Computation of Attribute Filters on Shared Memory Parallel Machines	claim
71	141	Groupwise Geometric and Photometric Direct Image Registration	claim
72	140	Simplifying Mixture Models Using the Unscented Transform	claim
73	139	A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets	claim
74	137	Tracking the Visual Focus of Attention for a Varying Number of Wandering People	claim
75	137	IRGS: Image Segmentation Using Edge Penalties and Region Growing	claim
76	135	MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm	claim
77	134	Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions	claim
78	132	Trajectory Association across Multiple Airborne Cameras	claim
79	126	A Comparative Study of Staff Removal Algorithms	claim
80	125	Design of Multimodal Dissimilarity Spaces for Retrieval of Video Documents	claim
81	121	Groups of Adjacent Contour Segments for Object Detection	claim
82	121	Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images	claim
83	120	Inverse Compositional Estimation of 3D Pose And Lighting in Dynamic Scenes	claim
84	119	Triplet Markov Fields for the Classification of Complex Structure Data	claim
85	118	Real-World Image Annotation and Retrieval: An Introduction to the Special Section	claim
86	117	Three-Dimensional Surface Relief Completion Via Nonparametric Techniques	claim
87	116	Disconnected Skeleton: Shape at Its Absolute Scale	claim
88	115	Depth Map Calculation for a Variable Number of Moving Objects using Markov Sequential Object Processes	claim
89	115	Effective Proximity Retrieval by Ordering Permutations	claim
90	109	Likelihood Ratio-Based Biometric Score Fusion	claim
91	107	Robust and Accurate Visual Echo Cancelation in a Full-duplex Projector-Camera System	claim
92	103	Mixture of Spherical Distributions for Single-View Relighting	claim
93	86	Introduction of New Associate Editors	claim
94	83	Kernels for Generalized Multiple-Instance Learning	claim

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